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Dynamic stochastic lot sizing with forecast evolution in rolling-horizon planning
Forel, Alexandre; Grunow, Martin - In: Production and operations management : the flagship … 32 (2023) 2, pp. 449-468
Persistent link: https://www.econbiz.de/10014266046
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Optimised hybrid CNN bi-LSTM model for stock price forecasting
Patnaik, Deepti; Rao, N. V. Jagannadha; Padhiari, … - In: International journal of intelligent enterprise 11 (2024) 3, pp. 248-273
Persistent link: https://www.econbiz.de/10015065340
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Russia's comparative advantages in foreign trade : forecasting potential dynamics and identifying stimulation measures
Savin, Ivan - 2013
Persistent link: https://www.econbiz.de/10009684693
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A modular approach to optimal multipleshift manpower scheduling
Burns, R. N.; Koop, G. J. - In: Operations research 35 (1987) 1, pp. 100-110
Persistent link: https://www.econbiz.de/10003507725
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Optimal recruitment strategies in a multi-level manpower planning model
Guerry, Marie-Anne; De Feyter, Tim - In: Journal of the Operational Research Society : OR 63 (2012) 7, pp. 931-940
Persistent link: https://www.econbiz.de/10009571130
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Forecasting tourist arrivals to Balearic Islands using genetic programming
Alvarez-Díaz, Marcos; Mateu-Sbert, Josep; … - In: International journal of computational economics and … 1 (2009) 1, pp. 64-75
Persistent link: https://www.econbiz.de/10003984926
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Employing a generalized reduced gradient algorithm method to form combinations of steel price forecasts generated separately by ARIMA-TF and ANN models
Terregrossa, Salvatore Joseph; Şener, Uğur - In: Cogent economics & finance 11 (2023) 1, pp. 1-25
component model forecast weights, which is a novel approach introduced by this study. The data set employed includes a time … forecasts of all models (component and combining), mean absolute percentage forecast errors (MAPE) are calculated and model … their hedging decisions on a combination of forecasts generated by ARIMA-TF and ANN models, with the forecast weights …
Persistent link: https://www.econbiz.de/10014500535
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An analytical numerical method for solving adaptive control models which include forward-looking variables
Achath, Sudhakar - In: Poverty, environment and economic development : …, (pp. 293-340). 1995
Persistent link: https://www.econbiz.de/10001300363
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Endogenized technological learning in an energy systems model
Messner, Sabine - In: Journal of evolutionary economics : JEE 7 (1997) 3, pp. 291-313
Persistent link: https://www.econbiz.de/10001225067
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Models for educational and manpower planning : a dynamic linear programming approach
Propoi, Anatoli - 1978
Persistent link: https://www.econbiz.de/10002667971